Siemens Medical Solutions Usa, Inc.

Edda Technology, Inc.

Hong Chen

Guo-Qing Wei

Li Fan

Xiaolan Zeng

Cheng-Chung Liang

Feng Ma

Carol L Novak

Li Zhang

Qing Xu

Qian Jianzhong

Jianzhong Qian

Ali Reza Bani-Hashemi

Juan Carlos Celi

Jean Pouliot

Jian Zhong Qian

Josephine Chen

Bijumon Gangadharan

Ma Feng

Zeng Xiaolan

The success of percutaneous radiofrequency ablation mainly depends on the accuracy of the needle insertion, making it possible to destroy the whole tumor, while avoiding damages on other organs and minimizing risks of a local recurrence. This invention presents a simulated 3D environment for user to interactively place a treatment probe to a target position.

Method and system for interactive percutaneous pre-operation surgical planning

Method and system for process sharing in a medical imaging system are disclosed. A first application system is provided capable of processing data within a second application system. A process sharing system residing outside of the second application system is configured for enabling process sharing of the first application system within the second application system. The first application system comprises a front-end unit that is made operable within the second application system by a process launcher upon occurrence of an event to facilitate processing of data accessible from the second application system through communication with the process sharing system via a pre-defined interface. The process launcher is generated by the process sharing system and deployed on the second application system.

Architect for process sharing between independent systems/applications in medical imaging

Methods and system for data/process sharing between different systems. A trigger response unit is deployed on a first system where a first application resides. The trigger response unit is to detect when a representation corresponding to trigger data from a second application is present in the first application. When such a presence is detected, the detected representation corresponding to the trigger data is decoded to obtain a trigger, wherein the representation encodes the trigger corresponding to the second application and information associated with data. Based on the trigger, the first system launches the second application within the first application on the first system by utilizing the trigger data that include a trigger pattern present in a trigger image.

Information encoding for enabling an application within a different system/application in medical imaging

Methods and systems for separating a 3D liver object are disclosed. A 3D liver object and selected associated vascular and other anatomic structures are displayed in a 3D space which is rendered on a 2D display screen. One or more 3D separating surfaces are placed in the 3D space based on anatomic structural landmarks that are segmented automatically or interactively, where each of the 3D separating surfaces intersects with the 3D liver object at a corresponding 3D pose. The 3D liver object into at least two sub-segments based on the 3D separating surfaces, which can be individually and independently adjusted directly in the 3D space, in real-time, and interactively by a user based on 3D and/or 2D information related to the 3D liver object, and the selected associated vascular and other anatomic structures.

System and method for interactive liver lobe segmentation

A method and system for automatic MR brain scan planning is disclosed. The method utilizes a set of 2D orthogonal localizer images to determine scanning planes for 3D diagnostic MR scans. A location of the mid-sagittal plane (MSP) is detected in each of a transversal localizer image and a coronal localizer image. A sagittal scanning plane is determined based on the location of the MSP in the transversal and coronal localizer images. A diagnostic sagittal MR scan is then acquired based on the sagittal scanning plane. The corpus callosum CC is segmented in a sagittal MR image slice resulting from the diagnostic sagittal MR scan. A transversal scanning plane can be determined based on a location of the CC in the sagittal MR image slice and the location of the MSP in the coronal localizer image, and a coronal scanning plane can be determined based on the location of the CC in the sagittal MR image slice and the location of the MSP in the transversal localizer image.

System and method for magnetic resonance brain scan planning

A method and system for segmentation of the corpus callosum in MR brain images is disclosed. The method utilizes an active shape model (ASM) with confidence weighting to iteratively adjust an initial corpus callosum contour to define a boundary of the corpus callosum in an MR image. An ASM is used to determine a displacement value in a perpendicular direction of the corpus callosum contour for each node of the corpus callosum contour. The displacement value for each node is then weighted based on a confidence of that displacement value. The ASM is then fitted to the adjusted contour. These steps are iteratively performed until the contour converges to define the corpus callosum boundary. This boundary can be further refined based on intensity distributions in object and background regions defined by the boundary.

System and method for corpus callosum segmentation in magnetic resonance images

A system includes acquisition of a three-dimensional cone beam image, and determination of a dose to be delivered based on the three-dimensional image and on parameters of a treatment beam to deliver the dose. Some systems may include modification of a three-dimensional cone beam image to correct for scatter radiation, and determination of a dose based on the modified three-dimensional cone beam image.

Dose-guided radiation therapy using cone beam CT

A computer-implemented method for determining a joint space width includes providing image data for a skeleton, thresholding the image data, and performing a connected component analysis on thresholded image data. The method further includes extracting contours of the thresholded image data according to the connected component analysis, performing a skeletonization of the thresholded image data using a first fast marching analysis of the thresholded image data, locating at least one finger joint of skeletonized image data, extracting bone boundaries using a second fast marching analysis of gradient information of the image data inside a region of interest, which includes a finger joint of the at least one finger joint, determining the joint space width given extracted bone boundaries, and outputting the joint space width.

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Plainsboro, NJ, United States of America

Hong Chen